| 標題: | Modified moose estimator for tracking highly manoeuvring targets |
| 作者: | Liu, CM Wu, KG 資訊工程學系 Department of Computer Science |
| 關鍵字: | target tracking;Kalman filters |
| 公開日期: | 10-四月-1997 |
| 摘要: | The Moose's adaptive state estimator has proved successful in tracking a manoeuvring submarine [1]. However, its application to track highly manoeuvring aircraft will encounter problems in complexity and tracking accuracy [2, 3]. The authors present a new algorithm that extends the Moose estimator to solve its problems. The new algorithm is verified through Monte-Carlo simulation and shows a better performance than the original Moose algorithm. |
| URI: | http://dx.doi.org/10.1049/el:19970478 http://hdl.handle.net/11536/149505 |
| ISSN: | 0013-5194 |
| DOI: | 10.1049/el:19970478 |
| 期刊: | ELECTRONICS LETTERS |
| Volume: | 33 |
| 起始頁: | 672 |
| 結束頁: | 674 |
| 顯示於類別: | 期刊論文 |

